“Artists never really leave anything alone. If you give them a tool its going to get used, and that tool has to be on a certain level before it's really acceptable... So technology recently has given us the possibility to do things at the sort of speed at which the artist can think.” ― Bill Goldston, Roundtable at the Brooklyn Museum of Art

Deep-learning artificial intelligence algorithms are cutting-edge technologies that can use in generative art and other valuable applications in life. StyleGAN2 is an advanced generative algorithm trained on a large dataset of images to produce stunning results beyond human thought or prediction. The generated images are synthetically produced based on the patterns learned from the input datasets. In this work, I train StyleGAN2 on the 12,000 high-resolution fluid art paintings to produce a generative artwork.